Agentic · tools
OSWorld-Verified leaderboard
As of 2026-10-07, the highest measured score on OSWorld-Verified is 86.1% by Qwen3.8 Max. 143 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Claude Fable 5.1 | 100.0% | estimated ± 1.9 pp, low confidence |
| 2 | Claude Opus 5.5 | 100.0% | estimated ± 3.0 pp, medium confidence |
| 3 | Gemini 4 Argon | 100.0% | estimated ± 3.0 pp, medium confidence |
| 4 | GPT-6 Sol | 100.0% | estimated ± 3.0 pp, medium confidence |
| 5 | GPT-6 Astra | 99.7% | estimated ± 1.9 pp, low confidence |
| 6 | Claude Sonnet 5.5 | 90.7% | estimated ± 8.7 pp, low confidence |
| 7 | Grok 4.7 | 87.5% | estimated ± 8.7 pp, low confidence |
| 8 | Claude Opus 5 | 86.4% | estimated ± 1.9 pp, low confidence |
| 9 | Qwen3.8 Max Preview | 86.3% | estimated ± 8.7 pp, low confidence |
| 10 | Qwen3.8 Max | 86.1% | measured |
| 11 | GPT-5.5 Pro | 85.3% | estimated ± 5.4 pp, low confidence |
| 12 | Claude Fable 5 | 85.0% | measured |
| 13 | Claude Mythos 5 | 85.0% | measured |
| 14 | GPT-5.4 Pro | 84.3% | estimated ± 5.4 pp, low confidence |
| 15 | Qwen3.8-27B | 84.3% | measured |
| 16 | GPT-6.1 Sol | 83.8% | estimated ± 8.7 pp, low confidence |
| 17 | Claude Opus 4.8 | 83.4% | measured |
| 18 | Gemini 3.6 Flash | 83.0% | measured |
| 19 | Qwen3.8-Flash-Next | 82.8% | estimated ± 3.0 pp, high confidence |
| 20 | Holo3-35B-A3B | 82.6% | measured |
| 21 | GPT-5.6 Sol | 82.2% | estimated ± 1.9 pp, medium confidence |
| 22 | MiMo-V2.6-Pro | 82.0% | measured |
| 23 | Gemini 3.8 Flash | 81.3% | estimated ± 1.9 pp, medium confidence |
| 24 | Muse Spark 1.2 | 81.2% | estimated ± 8.7 pp, low confidence |
| 25 | Claude Sonnet 5 | 81.2% | measured |
| 26 | Ornith-1.5-397B | 80.9% | estimated ± 5.4 pp, medium confidence |
| 27 | MiMo-V2.6-Flash | 80.8% | measured |
| 28 | Muse Spark 1.1 | 80.8% | measured |
| 29 | DeepSeek V4.1 Flash | 80.7% | estimated ± 4.7 pp, high confidence |
| 30 | Ling 3.1 Flash | 80.7% | estimated ± 4.7 pp, high confidence |
| 31 | Fugu Cyber | 80.5% | estimated ± 4.7 pp, high confidence |
| 32 | Atria Dawn Preview | 80.4% | estimated ± 4.7 pp, high confidence |
| 33 | Gemini 3.8 Flash Cyber | 80.3% | estimated ± 4.7 pp, high confidence |
| 34 | GPT-6 Luna | 80.2% | estimated ± 8.7 pp, low confidence |
| 35 | Step 5 Preview | 80.0% | estimated ± 4.7 pp, high confidence |
| 36 | GLM-5.3 | 80.0% | estimated ± 4.7 pp, high confidence |
| 37 | Mistral Large 4 | 79.8% | estimated ± 8.7 pp, low confidence |
| 38 | DeepSeek V4 Pro 0813 | 79.7% | estimated ± 4.7 pp, high confidence |
| 39 | Gemini 3.5 Flash Cyber | 79.7% | estimated ± 4.7 pp, high confidence |
| 40 | Claude Mythos Preview | 79.7% | estimated ± 4.7 pp, high confidence |
| 41 | Apodex 1.1 | 79.3% | estimated ± 6.7 pp, low confidence |
| 42 | Muse Spark 1.3 | 79.3% | estimated ± 1.9 pp, medium confidence |
| 43 | Grok 4.5 | 78.9% | estimated ± 8.7 pp, low confidence |
| 44 | Holo3-122B-A10B | 78.9% | measured |
| 45 | Kimi K3 | 78.8% | estimated ± 1.9 pp, medium confidence |
| 46 | GPT-5.5 | 78.7% | measured |
| 47 | Hy4 preview | 78.6% | estimated ± 4.7 pp, high confidence |
| 48 | GLM-5.2 | 78.5% | estimated ± 8.7 pp, low confidence |
| 49 | Gemini 3.5 Flash | 78.4% | measured |
| 50 | DeepSeek V4 Flash 0731 | 78.2% | estimated ± 4.7 pp, high confidence |
| 51 | Gemini 3.7 Flash | 78.0% | estimated ± 1.9 pp, medium confidence |
| 52 | GPT-5.6 Terra | 78.0% | estimated ± 1.9 pp, medium confidence |
| 53 | Claude Opus 4.7 (Adaptive) | 78.0% | measured |
| 54 | UI-Mate-27B | 77.0% | measured |
| 55 | Grok 4.6 | 76.8% | estimated ± 1.9 pp, medium confidence |
| 56 | dots3-note Preview | 76.6% | estimated ± 5.4 pp, medium confidence |
| 57 | GLM-5.1 | 76.0% | estimated ± 4.7 pp, high confidence |
| 58 | GPT-5.4 | 75.0% | measured |
| 59 | Claude Opus 4.7 | 74.2% | estimated ± 1.9 pp, medium confidence |
| 60 | GPT-5.6 Luna | 74.2% | estimated ± 1.9 pp, medium confidence |
| 61 | Qwen3.7 Max | 74.0% | estimated ± 5.9 pp, medium confidence |
| 62 | Gemini 3.5 Flash-Lite | 74.0% | measured |
| 63 | Apodex 1.1 Mini | 73.8% | estimated ± 8.7 pp, low confidence |
| 64 | Quasar 438B | 73.5% | estimated ± 8.7 pp, low confidence |
| 65 | Qwen3.7 Plus | 73.3% | measured |
| 66 | Kimi K2.6 | 73.1% | measured |
| 67 | Gemini 3 Pro | 73.0% | estimated ± 5.9 pp, medium confidence |
| 68 | Ling 3.0 Flash VL | 73.0% | estimated ± 8.7 pp, low confidence |
| 69 | Claude Opus 4.6 | 72.7% | measured |
| 70 | MiMo-V2.5-Pro | 72.5% | estimated ± 5.9 pp, medium confidence |
| 71 | Claude Sonnet 4.6 | 72.1% | measured |
| 72 | GPT-5.4 mini | 72.1% | measured |
| 73 | Hy3 | 70.4% | estimated ± 8.7 pp, low confidence |
| 74 | MiniMax M3 | 70.1% | measured |
| 75 | Kimi K2.7 Code | 69.7% | estimated ± 8.7 pp, low confidence |
| 76 | Inkling-Small | 69.1% | estimated ± 5.4 pp, medium confidence |
| 77 | Beam | 69.1% | estimated ± 5.4 pp, medium confidence |
| 78 | GLM-5.3-Flash | 69.0% | estimated ± 6.2 pp, low confidence |
| 79 | Inkling | 68.7% | estimated ± 5.4 pp, medium confidence |
| 80 | A.X K2 | 67.7% | estimated ± 8.7 pp, low confidence |
| 81 | Ling 3.0 Flash FP8 | 67.3% | estimated ± 8.7 pp, low confidence |
| 82 | Step 3.7 Flash | 67.1% | estimated ± 5.4 pp, medium confidence |
| 83 | Agents-A1 | 66.8% | estimated ± 5.4 pp, medium confidence |
| 84 | Gemini 3.1 Pro | 66.8% | estimated ± 5.9 pp, medium confidence |
| 85 | Gemini 3 Flash | 66.5% | estimated ± 5.9 pp, medium confidence |
| 86 | Claude Opus 4.5 | 66.3% | measured |
| 87 | UI-Mate-9B | 66.2% | measured |
| 88 | Solar Open 2 | 66.0% | estimated ± 10.9 pp, low confidence |
| 89 | Muse Glimmer 30B | 65.9% | measured |
| 90 | Muse Spark | 65.8% | estimated ± 4.7 pp, medium confidence |
| 91 | GLM-5 | 65.6% | estimated ± 4.7 pp, medium confidence |
| 92 | Qwen3.6-27B | 64.8% | estimated ± 5.9 pp, medium confidence |
| 93 | GPT-5.3 Codex | 64.7% | measured |
| 94 | Ling 3.0 Flash | 63.0% | estimated ± 5.4 pp, medium confidence |
| 95 | GPT-5.2-Codex | 61.9% | estimated ± 5.9 pp, medium confidence |
| 96 | Claude Sonnet 4.5 | 61.4% | measured |
| 97 | MiniCPM5-2B | 61.1% | estimated ± 8.7 pp, low confidence |
| 98 | Qwen3.6 Plus | 60.9% | estimated ± 5.9 pp, medium confidence |
| 99 | LLaDA2.2-flash | 60.2% | estimated ± 10.9 pp, low confidence |
| 100 | GPT-5.1-Codex | 60.1% | estimated ± 5.9 pp, medium confidence |
| 101 | Grok Build 0.1 | 59.7% | estimated ± 5.9 pp, medium confidence |
| 102 | MiMo-V2-Flash | 59.0% | estimated ± 8.7 pp, low confidence |
| 103 | Grok 4.1 Fast | 58.3% | estimated ± 5.9 pp, medium confidence |
| 104 | Ornith-1.5-35B-A3B | 58.3% | estimated ± 5.4 pp, medium confidence |
| 105 | MiMo-V2.5 | 58.0% | estimated ± 5.9 pp, medium confidence |
| 106 | Qwen3.5-122B-A10B | 58.0% | measured |
| 107 | Granite 4.2 30B | 57.6% | estimated ± 8.7 pp, low confidence |
| 108 | Agents-A1-4B | 57.6% | estimated ± 5.4 pp, medium confidence |
| 109 | Gemma 4 26B A4B | 57.3% | estimated ± 8.7 pp, low confidence |
| 110 | Ling 3.0 Tiny | 57.2% | estimated ± 8.7 pp, low confidence |
| 111 | Qwen3.5-27B | 56.2% | measured |
| 112 | Grok 4.3 | 56.2% | estimated ± 5.9 pp, medium confidence |
| 113 | Qwen3 Max | 56.1% | estimated ± 5.9 pp, medium confidence |
| 114 | Command A+ | 56.0% | estimated ± 8.7 pp, low confidence |
| 115 | Celeris-1 | 55.6% | estimated ± 8.7 pp, low confidence |
| 116 | DeepSeek V3 | 55.6% | estimated ± 8.7 pp, low confidence |
| 117 | DeepSeek V3 0324 | 55.6% | estimated ± 8.7 pp, low confidence |
| 118 | Gemma 3 27B | 55.6% | estimated ± 8.7 pp, low confidence |
| 119 | Gemma 4 12B | 55.6% | estimated ± 8.7 pp, low confidence |
| 120 | Gemma 4 E2B | 55.6% | estimated ± 8.7 pp, low confidence |
| 121 | Gemma 4 E4B | 55.6% | estimated ± 8.7 pp, low confidence |
| 122 | GPT-4.1 mini | 55.6% | estimated ± 8.7 pp, low confidence |
| 123 | GPT-4.1 nano | 55.6% | estimated ± 8.7 pp, low confidence |
| 124 | GPT-4o | 55.6% | estimated ± 8.7 pp, low confidence |
| 125 | GPT-4o mini | 55.6% | estimated ± 8.7 pp, low confidence |
| 126 | GPT-OSS 20B | 55.6% | estimated ± 8.7 pp, low confidence |
| 127 | Granite 4.2 3B | 55.6% | estimated ± 8.7 pp, low confidence |
| 128 | Granite 4.2 8B | 55.6% | estimated ± 8.7 pp, low confidence |
| 129 | K-Exaone | 55.6% | estimated ± 8.7 pp, low confidence |
| 130 | LFM2.5-2.6B | 55.6% | estimated ± 8.7 pp, low confidence |
| 131 | Ling 2.6 Flash | 55.6% | estimated ± 8.7 pp, low confidence |
| 132 | Llama 4 Maverick | 55.6% | estimated ± 8.7 pp, low confidence |
| 133 | Llama 4 Scout | 55.6% | estimated ± 8.7 pp, low confidence |
| 134 | Mistral Large 3 | 55.6% | estimated ± 8.7 pp, low confidence |
| 135 | Mistral Small 4 | 55.6% | estimated ± 8.7 pp, low confidence |
| 136 | Mistral Small 4 (Reasoning) | 55.6% | estimated ± 8.7 pp, low confidence |
| 137 | Nemotron 3 Nano 30B | 55.6% | estimated ± 8.7 pp, low confidence |
| 138 | Nemotron 3 Nano Omni 30B A3B | 55.6% | estimated ± 8.7 pp, low confidence |
| 139 | Nemotron 3 Super 100B | 55.6% | estimated ± 8.7 pp, low confidence |
| 140 | North Mini Code | 55.6% | estimated ± 8.7 pp, low confidence |
| 141 | Solar Pro 3 | 55.6% | estimated ± 8.7 pp, low confidence |
| 142 | Trinity-Large-Preview | 55.6% | estimated ± 8.7 pp, low confidence |
| 143 | Ultravox v0.6 Llama 3.3 70B | 55.6% | estimated ± 8.7 pp, low confidence |
| 144 | Qwen3.6-35B-A3B | 55.5% | estimated ± 5.9 pp, medium confidence |
| 145 | Claude 4.1 Opus | 55.4% | estimated ± 8.7 pp, low confidence |
| 146 | Grok 4 | 55.4% | estimated ± 5.9 pp, medium confidence |
| 147 | Gemini 2.5 Pro | 55.2% | estimated ± 5.9 pp, medium confidence |
| 148 | GPT-5.1 | 54.9% | estimated ± 5.9 pp, medium confidence |
| 149 | MiniMax M2.7 | 54.5% | estimated ± 5.9 pp, medium confidence |
| 150 | Qwen3.5-35B-A3B | 54.5% | measured |
| 151 | Claude 4 Sonnet | 54.2% | estimated ± 5.9 pp, medium confidence |
| 152 | Mistral Medium 3.5 128B | 54.0% | estimated ± 5.9 pp, medium confidence |
| 153 | Gemini 3.1 Flash-Lite | 53.8% | estimated ± 5.9 pp, medium confidence |
| 154 | Grok 4.20 | 53.8% | estimated ± 5.9 pp, medium confidence |
| 155 | Qwen3.5 397B | 53.8% | estimated ± 5.4 pp, medium confidence |
| 156 | Hy3 Preview | 53.4% | estimated ± 5.9 pp, medium confidence |
| 157 | MiMo-V2-Pro | 53.3% | estimated ± 5.9 pp, medium confidence |
| 158 | Gemma 4 31B | 53.0% | estimated ± 5.9 pp, medium confidence |
| 159 | Kimi K2.5 | 52.8% | estimated ± 5.4 pp, low confidence |
| 160 | Kimi K2.5 (Reasoning) | 52.8% | estimated ± 5.4 pp, low confidence |
| 161 | Trinity-Large-Thinking | 52.5% | estimated ± 5.9 pp, medium confidence |
| 162 | GLM-5V-Turbo | 52.2% | estimated ± 5.9 pp, medium confidence |
| 163 | GPT-OSS 120B | 52.1% | estimated ± 5.9 pp, medium confidence |
| 164 | DeepSeek V3.2 | 52.1% | estimated ± 5.9 pp, medium confidence |
| 165 | GPT-4.1 | 51.8% | estimated ± 5.9 pp, low confidence |
| 166 | Ornith-1.5-9B | 50.5% | estimated ± 5.4 pp, low confidence |
| 167 | Qwen3.5 Plus | 50.5% | estimated ± 8.7 pp, low confidence |
| 168 | GLM-4.7 | 48.8% | estimated ± 5.4 pp, low confidence |
| 169 | Solar Pro 4 | 47.9% | estimated ± 5.4 pp, low confidence |
| 170 | LongCat-Flash-Lite-Sparse | 47.8% | estimated ± 5.4 pp, low confidence |
| 171 | GPT-5.2 | 47.3% | measured |
| 172 | Nemotron 3 Ultra | 47.0% | estimated ± 5.4 pp, low confidence |
| 173 | Claude Haiku 4.5 | 46.3% | estimated ± 8.7 pp, low confidence |
| 174 | Mercury 2.5 | 46.2% | estimated ± 6.7 pp, low confidence |
| 175 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 46.2% | estimated ± 5.4 pp, low confidence |
| 176 | GPT-5.4 nano | 39.0% | measured |
| 177 | GPT-5 (high) | 30.2% | estimated ± 8.7 pp, low confidence |
All leaderboards
Agentic · terminal
- AA Terminal-Bench 2.1
- AA Terminal-Bench 4.0
- Terminal-Bench 2.0
- Terminal-Bench 3.0
- Terminal-Bench 4.0
- Terminal-Bench-Science 0.1
- Terminal-Bench 2.1
- Terminal-Bench 2.1 (Vals AI)
Agentic · tools
- AA Agentic Index
- AA-AnalystAgent
- AA AutomationBench
- AA EnterpriseOps-Gym
- GDP.pdf
- AA Harvey LAB
- AA ITBench
- AA Tau3 Banking
- Agents' Last Exam
- APEX-Agents
- APEX-Agents-AA
- ApprenticeBench
- AutomationBench
- BFCL v4
- BrowseComp
- Claw-Eval
- CWE-bench v1
- CyberGym
- DeepPlanning
- DeepSearchQA
- DRACO
- ExploitGym
- GDPval-AA
- Gert Labs
- HLE w/ tools
- JobBench
- MCP Atlas
- MCP-Tasks
- OSWorld-Verified
- OSWorld 2.0
- QwenClawBench
- ResearchClawBench
- SkillsBench
- τ²-bench results
- τ³-bench results
- Toolathlon
- Toolathlon-Verified
- VITA-Bench
- WideResearch
Coding
- AA Coding Index
- AA-SciCode
- CursorBench 3.1
- CursorBench 3.2
- CursorBench 4.0
- DeepSWE
- FrontierCode 1.1 Main
- FrontierCode 1.1 Extended
- FrontierSWE v2
- LiveCodeBench
- LiveCodeBench Pro
- LiveCodeBench v6
- NL2Repo
- OpenHarmony Bench
- PostTrainBench v1.1
- ProgramBench
- React Native Evals
- SciCode
- SWE-bench Pro
- SWE-bench Verified
- SWE-Rebench
- Vals LiveCodeBench
- Vals SWE-bench
- Vibe Code Bench
- VulcanBench v3
Math
- AIME 2025
- AIME26
- FrontierMath (legacy)
- FrontierMath v2 (Tier 4)
- FrontierMath v2 (Tiers 1-3)
- HMMT Feb 2025
- HMMT Feb 2026
- HMMT Nov 2025
- IMOAnswerBench
- MATH-500
- MMAnswerBench
Knowledge & reasoning
- AA-GPQA Diamond
- AA-HLE
- ARC-AGI-2
- ARC-AGI-1
- ARC-AGI-3
- Artificial Analysis Intelligence Index
- BioMysteryBench (human-difficult)
- BioMysteryBench (human-solvable)
- C-Eval
- CritPt
- GPQA
- GPQA Diamond
- HealthBench (raw)
- HealthBench Hard
- HealthBench (length-adjusted)
- HealthBench Professional
- HealthBench Professional (raw)
- HLE
- HLE w/o tools
- HLE-Verified
- JevBench 1.4
- LABBench2
- MedXpertQA (Text)
- MMLU
- MMLU-Pro
- MMLU-Pro (Arcee)
- MMLU-Redux
- MMMLU
- AA-Omniscience Accuracy
- SuperGPQA
- Vals GPQA Diamond
- Vals MMLU-Pro
Instruction following
Multilingual
Vision & documents
- AA-MMMU-Pro
- BabyVision
- CharXiv
- CharXiv w/o tools
- ERQA
- MathVision
- MathVision w/ Python
- MedXpertQA (MM)
- MMMU
- MMMU-Pro
- MMMU-Pro w/ Python
- MMVU
- OfficeQA Pro
- OmniDocBench 1.5
- RealWorldQA
- RefCOCO (avg)
- ScreenSpot Pro
- SimpleVQA
- Video-MME (with subtitle)
- VideoMMMU
- V*
- ZeroBench